Qwen3 1.7B Grpo Training 1st Half Epoch by shenzhentianyi

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Qwen3 1.7B Grpo Training 1st Half Epoch is an open-source language model by shenzhentianyi. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, LLM Explorer Score: 0.19.

  Qwen3   Region:us   Safetensors

Qwen3 1.7b Grpo Training 1st Half Epoch Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3 1.7B Grpo Training 1st Half Epoch Parameters and Internals

LLM NameQwen3 1.7b Grpo Training 1st Half Epoch
Repository 🤗https://huggingface.co/shenzhentianyi/qwen3_1.7b_grpo_training_1st_half_epoch 
Model Size1.7b
Required VRAM3.4 GB
Updated2025-09-18
Maintainershenzhentianyi
Model Typeqwen3
Model Files  3.4 GB
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.53.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than shenzhentianyi/qwen3_1.7b_grpo_training_1st_half_epoch.

Rank the Qwen3 1.7B Grpo Training 1st Half Epoch Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a